A Model to Predict Future Biologic or Targeted Synthetic DMARD Switch at a Subsequent Clinic Visit in Rheumatoid Arthritis.

ABSTRACT:

Introduction

To understand factors leading to biologic switches and to develop a readily usable model with data collected in clinical care at preceding visits, with the overall aim to predict the probability of switching biologic at a subsequent clinic visit in patients with rheumatoid arthritis (RA).

Methods

Participants were adults with RA participating in the CorEvitas RA registry. The study matched patients who switched biologics or targeted synthetic disease-modifying anti-rheumatic drugs (tsDMARDs) with control patients who had not switched biologics/tsDMARDs; the cohort was divided into a training and test set for prediction model development and validation. Using the training set, the best subset regression, lasso, and elastic net methods were used to determine the b

SUBMITTER: Cappelli LC 

PROVIDER: S-EPMC10654285 | biostudies-literature | 2023 Oct

REPOSITORIES: biostudies-literature